Results 271 to 280 of about 8,928,935 (332)
Some of the next articles are maybe not open access.
, 2020
This paper examines the impacts of road network density on motor vehicle travel through traffic flow and network analysis of cities in China from three perspectives: multi-city comparison with traffic flow data, multi-city and multi-period comparisons ...
Shiguang Wang +5 more
semanticscholar +1 more source
This paper examines the impacts of road network density on motor vehicle travel through traffic flow and network analysis of cities in China from three perspectives: multi-city comparison with traffic flow data, multi-city and multi-period comparisons ...
Shiguang Wang +5 more
semanticscholar +1 more source
Distributed In-memory Trajectory Similarity Search and Join on Road Network
IEEE International Conference on Data Engineering, 2019Many applications, e.g., Uber, collect large-scale trajectory data from moving vehicles on road network. Trajectory data analytics can benefit many real-world applications, such as route planning and transportation optimizations.
Haitao Yuan, Guoliang Li
semanticscholar +1 more source
2022
Om infrastrukturen omkring Odense og Aalborg i middelalder og nyere tid.
Møller, Per Grau, Haue, Niels
openaire +1 more source
Om infrastrukturen omkring Odense og Aalborg i middelalder og nyere tid.
Møller, Per Grau, Haue, Niels
openaire +1 more source
, 2020
Road networks are permanent manmade features altering the landscape structure and subsequently influence regional landscape ecology. Taking south-western foothills of Central Himalaya, as a case, this study assessed the spatio-temporal variations in ...
Deepika Mann +3 more
semanticscholar +1 more source
Road networks are permanent manmade features altering the landscape structure and subsequently influence regional landscape ecology. Taking south-western foothills of Central Himalaya, as a case, this study assessed the spatio-temporal variations in ...
Deepika Mann +3 more
semanticscholar +1 more source
Transportation Research Part B: Methodological, 2019
As an important aspect in disaster operations management, relief distribution has been challenged by lots of factors, such as unpredictable occurrence time, intensity and location of secondary disasters (e.g.
Shaolong Hu +3 more
semanticscholar +1 more source
As an important aspect in disaster operations management, relief distribution has been challenged by lots of factors, such as unpredictable occurrence time, intensity and location of secondary disasters (e.g.
Shaolong Hu +3 more
semanticscholar +1 more source
Time-dependent resilience analysis of a road network in an extreme environment
, 2020Road networks, especially those built in an extreme environment, are at risk of service failure after long-term exposure to various types of disruptive events.
Chengqian Li +4 more
semanticscholar +1 more source
Route-preserving Road Network Generalization
Proceedings of the 28th International Conference on Advances in Geographic Information Systems, 2020We investigate a data-driven approach for road network generalization, where the input is a road network and a collection of routes or trajectories on these roads. The aim is to select a subset of the road network in which many routes of the collection are fully preserved.
van de Kerkhof, M.A. +4 more
openaire +1 more source
IEEE Transactions on Geoscience and Remote Sensing, 2023
Extracting roads from complex high-resolution remote sensing images to update road networks has become a recent research focus. How to apply the contextual spatial correlation and topological structure of the roads properly to improve the extraction ...
L. Dai, Guangyun Zhang, Rongting Zhang
semanticscholar +1 more source
Extracting roads from complex high-resolution remote sensing images to update road networks has become a recent research focus. How to apply the contextual spatial correlation and topological structure of the roads properly to improve the extraction ...
L. Dai, Guangyun Zhang, Rongting Zhang
semanticscholar +1 more source
2010
The availability of large graphs that represent huge road networks has led to a vast amount of experimental research that has been custom-tailored for road networks. There are two primary reasons to investigate graph-generators that construct synthetic graphs similar to real-world road-networks: The wish to theoretically explain noticeable experimental
Bauer, R. +3 more
openaire +1 more source
The availability of large graphs that represent huge road networks has led to a vast amount of experimental research that has been custom-tailored for road networks. There are two primary reasons to investigate graph-generators that construct synthetic graphs similar to real-world road-networks: The wish to theoretically explain noticeable experimental
Bauer, R. +3 more
openaire +1 more source
Vulnerability assessment of urban road network from urban flood
International Journal of Disaster Risk Reduction, 2018Flood and flood-related problems have become more rampant all over the world leading to loss of life, infrastructure damage, and epidemics every year.
Prasoon Singh +3 more
semanticscholar +1 more source